Alexander Kalian
@AlexanderKalian
Final-year PhD building AI to predict molecular toxicity 🤖⚕️💊📈 I discuss AI, economics, investing and geopolitics 📊💱🌍 Views are my own.
Ageing is not a singular process or disease, even if it looks like one. It's the cumulative effect of almost everything in your body having undergone wear and tear... ... from a nanoscopic DNA and telomere level, all the way up to a microscopic heart cell, brain neuron, and…
Does anyone else like to sometimes just talk to a chatbot like a normal person, ask it about itself, and debate the philosophy behind what consciousness means?
People who think that AI or simulations can soon "solve biology" (or adjacent problems like ageing, cancer etc.), are naive to what we are dealing with. There are 30 trillion individual molecules whizzing around and 10 million chemical reactions in a human cell, every second.
Most of our world problems don't stem from a lack of intelligent input - but rather, from scarcity - of energy, resources etc. These things need physical labour, to solve. We need vast armies of robots. AI superintelligence alone, sitting on some big tech server, won't do much.
Why am I excited about the future of tech? Because of news like this! 8 babies in the UK have been born using DNA from 3 people. This technique replaces faulty mitochondria to prevent inherited diseases. Technology ROCKS.
Have you guys ever daydreamed as a kid, while staring into a tree or bush in the garden, and then seen random face-like patterns among the chaotic twigs and leaves? That's basically what a diffusion model does, for generative AI. It's like teaching a kid to *always* see faces…
What ever your doing, go higher. 10x is a real thing. There is no excuse for anything less. NOW is the time to build.
1/Here’s an excellent Financial Times article which accurately describes the problematic situation which many big Pharma companies such as $PFE $JNJ $BMY $ABBV $LLY $MRK $SNY and others are now facing - the upcoming patent cliff scenario. With IP rights which are about to expire…
1/6 One of the key features of functional proteins is their inherent structural flexibility. In our recent work at @icmlconf, we introduce flexibility to protein structure design. Our model FliPS generates protein structures with custom per-residue flexibilities as validated by…
Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction: A Case Study with Neurotransmitters and Antidepressants #machinelearning #compchem pubs.acs.org/doi/abs/10.102…
There are many ways to achieve high success and status, in society - but 4 major spheres dominate... - Mathematical brilliance (e.g. tech bro, finance bro). - Linguistic brilliance (e.g. lawyer, politician, intellectual). - Elite jocks (i.e. be a top sports and frat boy, then…
. @LinkedIn premium shows you very clearly that the landscape of jobs in the world is drastically changing on a weekly basis. Software Engineer: up 9% AI Engineers: up 9% Physician Assistant: down 6% Radiology Tech: down 7% We are in a revolution; Healthcare time is up.
US healthcare burns >$1 T/year on admin. Clinicians spend 1/3 of their day clicking forms and burning out. AI can fix patient comms, prior-auth, healthcare rev ops, & more. If you’re building to fix this trillion-dollar drag, we want to meet.
There is an "AI career game", that AI research engineers and scientists need to play, to stay competitive. It's a tough game of prestigious universities and firms, top-tier AI conference papers, an elite-looking GitHub, rushing to read new papers, always learning new tech etc.
Optimus serving popcorn is the best thing you'll see on the internet today. 🍿
I think that creating entire virtual simulated cells, complete with every biomolecule and biophysical condition, hosted on extreme supercomputers, will be more impactful to the bio and medical sciences than AI alone. But AI can sure help us build this.
When you want to make a long-term personal improvement, is it best to write out and follow a strict schedule, or to simply work in a generic direction, with a generic vision?
Big pharma companies are mostly de-facto biotech VCs, just with their own in-house labs.
The major event which took place this week in the BioTech and Pharma sector was without a doubt the death of a third patient from @Sarepta’s Gene Therapy. Here’s an excellent short summary by @CNBC’s @angelicapeebles which explains what went wrong with $SRPT. Worth watching! $XBI